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[State of Context Engineering] Agentic RAG, Context Rot, MCP, Subagents — Nina Lopatina, Contextual

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youtube.com
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Latent Space
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Why it matters

rot and retrieval design decide whether long-running agents stay accurate. A practitioner overview of agentic RAG, MCP and subagents helps you structure what an sees.

Terms in this piece · Glossary
  • context engineering — Deciding what an agent sees at each step — the discipline that replaced prompt engineering once context windows got large enough to fill badly.
  • context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
  • multi-agent — Using several AI agents on one problem — splitting work in parallel, checking each other, or filling different roles like planner and reviewer.
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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